Chief Quality Data Officer

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Memphis, TN

The Chief Quality Data Officer serves as a strategic analytics leader for Baptist Memorial Health Care Corporation, focused on improving patient care quality through advanced analytics while optimizing revenue through quality-based payment programs. This role identifies quality improvement opportunities by analyzing both clinical care delivery and administrative data to ensure BMHCC receives appropriate recognition for the high-quality care provided to patients.

The position combines deep analytical expertise with healthcare domain knowledge to predict performance in quality rating methodologies, identify improvement opportunities, and translate complex data into actionable insights for leadership and clinical teams. The ideal candidate is a data storyteller who can extract meaningful patterns from complex healthcare data sets, develop predictive models for quality outcomes, and effectively communicate findings to drive organizational change.

The role requires someone who not only understands the data but can craft compelling narratives that make complex analytics accessible and actionable for diverse stakeholders across the organization. This position will work collaboratively across multiple departments—including quality, coding, CDI, finance, and IT—to integrate data sources, create analytics frameworks, and implement data-driven strategies that maximize BMHCC's performance in public quality rating programs and value-based payment models.

The Quality Data Scientist will be adept at using large data sets to find opportunities for clinical quality optimization, testing different courses of action, and developing algorithms to monitor performance, serving as a bridge between technical and clinical domains to help BMHCC capture earned revenue by getting full credit for the quality care already being delivered.

• Quality Performance Improvement Leadership
• Analytics and Modeling
• Data Visualization and Communication
• Collaboration and Team Development
• Process Improvement

Technical

Skills:

Proficiency with data analysis platforms, ability to work with large complex datasets, experience with programming languages, and SQL query development. Experience with healthcare information systems, SAS, R, Python, and Epic systems.

Healthcare Knowledge: Understanding of healthcare quality measures, terminology (including DRGs, ICD-10 codes, HCCs), clinical documentation requirements, and public reporting methodologies.

Data Storytelling: Ability to communicate complex data insights to diverse audiences in a clear, compelling, and actionable manner. Experience developing executive-level presentations and strategic recommendations based on data analysis.

Critical Thinking: Ability to identify patterns and insights in complex data, approach problems from multiple perspectives, and develop innovative analytical solutions.

Personal Characteristics: Curiosity, adaptability to new information and methodologies, tenacity, and resilience when working through complex analytical challenges.

Leadership

Skills:

Ability to mentor others, lead cross-functional initiatives, and potentially build and supervise a team of analysts as the program grows.

Healthcare Analytics

Experience:

Minimum 7 years analyzing healthcare data to identify quality improvement opportunities and revenue optimization strategies; experience with CMS Stars, Leapfrog, Vizient, US News, HVBP, HRRP, HACRP.

Data Analysis

Experience:

Minimum 7 years with descriptive statistical methods and data exploration techniques; ability to integrate multiple data sources and develop comprehensive analytics solutions.

Collaborative

Experience:

Minimum 4 years working with multidisciplinary teams including quality, CDI, coding, finance, and IT; experience presenting to healthcare leadership teams on strategic initiatives.

Data Visualization

Experience:

Minimum 3 years creating dashboards and visualization tools that clearly communicate quality performance metrics to stakeholders.

Data Modeling

Experience:

Minimum 3 years developing predictive…